AI Engineer

Role & responsibilities

Key Responsibilities

• Develop and integrate AI/ML and Generative AI solutions using Python.
• Build applications using LLMs, RAG, AI Agents and Agentic AI workflows.
• Develop scalable backend services using FastAPI, Flask, Django or similar frameworks.
• Build and integrate REST APIs and third-party APIs.
• Work with SQL/NoSQL databases and Vector Databases.
• Implement LLM tool/function calling and AI workflow integrations.
• Work with technologies such as Redis, Docker and Cloud platforms.
• Contribute to frontend development/integration using React.js, Next.js, Angular or equivalent technologies.
• Handle deployment, debugging and production troubleshooting.
• Follow Git, SDLC and software engineering best practices.
• Work closely with stakeholders to understand requirements and deliver solutions.
• Take ownership of assigned technical components and contribute to technical design and architecture.
• Support and mentor team members whenever required.

Preferred candidate profile

1. Python & Backend Development
2. AI/ML & LLM Knowledge
3. API & System Integration
4. Problem Solving
5. Technical Ownership
6. Communication
7. Presentation
8. Confidence